A random-utility-consistent machine learning method to estimate agents' joint activity scheduling choice from a ubiquitous data set
We propose an agent-based mixed-logit model (AMXL) that is estimated with inverse
optimization (IO) estimation, an agent-level machine learning method theoretically …
optimization (IO) estimation, an agent-level machine learning method theoretically …
A calibrated choice experiment method
Although choice experiments (CEs) have emerged as the most popular stated preference
method in applied economics, the method is not free from biases related to order and …
method in applied economics, the method is not free from biases related to order and …
Landowners' willingness to accept pesticide reduction in the Pipiripau River Basin (Brazil)
LN Do Prado, J Abildtrup - Environmental Challenges, 2022 - Elsevier
Brazil is the largest buyer of pesticides in the world and allows the use of chemicals that
have long been banned in other countries. One in four Brazilian cities has water polluted by …
have long been banned in other countries. One in four Brazilian cities has water polluted by …
How conditional are the conditional willingness-to-pay estimates? A Monte Carlo evaluation
AS Choi - Journal of Environmental Economics and Policy, 2022 - Taylor & Francis
This paper aims to examine whether or not differing sample compositions influence
conditional willingness-to-pay (WTP) estimates for the same respondents, using a Monte …
conditional willingness-to-pay (WTP) estimates for the same respondents, using a Monte …